Machine Learning
Papers filed under cs.LG on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.
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15,361 to 15,420 of 20,193
AdaViT: Adaptive Tokens for Efficient Vision Transformer
Hongxu Yin, Arash Vahdat, Jose Alvarez +3
cs.CVcs.LGarXiv:2112.07658v32021Long-Term Behavioral Evaluation for Trusted Collaborator Selection via Bidirectional Mamba
Botao Zhu, Xianbin Wang
cs.LGeess.SYarXiv:2608.25232v12026Opacus: User-Friendly Differential Privacy Library in PyTorch
Ashkan Yousefpour, Igor Shilov, Alexandre Sablayrolles +9
cs.LGcs.CRarXiv:2109.12298v42021Reducing the Hausdorff Distance in Medical Image Segmentation with Convolutional Neural Networks
Davood Karimi, Septimiu E. Salcudean
eess.IVcs.LGstat.MLarXiv:1904.10030v12019Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
Guangyin Jin, Yuxuan Liang, Yuchen Fang +4
cs.LGarXiv:2303.14483v32023A Token-Level Analysis of Sampled-Token Reverse-KL On-Policy Distillation
Bing Shao, Jiazheng Zhang, Long Ma +9
cs.LGcs.CLarXiv:2608.25643v12026Token-Oriented Semantic Communication with Pretrained Vision Transformers
Jiwoong Im, Minwoo Kim, Jaeho Lee +2
eess.SPcs.AIcs.CVarXiv:2608.25410v12026Summaries:简体中文Machine learning pipeline for battery state of health estimation
Darius Roman, Saurabh Saxena, Valentin Robu +2
cs.LGarXiv:2102.00837v12021FedQoS: Federated QoS-Risk Learning for Heterogeneous Indoor-Outdoor Access Selection
Nguyen Van Thieu, Ti Ti Nguyen, Ons Aouedi +3
cs.LGarXiv:2608.25496v12026A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark
Xiaohua Zhai, Joan Puigcerver, Alexander Kolesnikov +14
cs.CVcs.LGstat.MLarXiv:1910.04867v220196G Networks: Beyond Shannon Towards Semantic and Goal-Oriented Communications
Emilio Calvanese Strinati, Sergio Barbarossa
cs.NIcs.ITcs.LGarXiv:2011.14844v32020Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies
Yae Jee Cho, Jianyu Wang, Gauri Joshi
cs.LGcs.DCstat.MLarXiv:2010.01243v12020Same-Player Verification for Account Consistency in Counter-Strike 2
Xuchen Zhang
cs.AIcs.LGarXiv:2608.24893v12026SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair
Zimin Chen, Steve Kommrusch, Michele Tufano +3
cs.SEcs.LGstat.MLarXiv:1901.01808v32018PA-CoT: Profile-Adaptive Chain-of-Thought for Personalized Nutritional Consulting
Evgenii Garmashov, Nikita Kulin, Artur Khairullin +5
cs.HCcs.AIcs.CLarXiv:2608.24907v12026Adaptive Conformal Inference Under Distribution Shift
Isaac Gibbs, Emmanuel Candès
stat.MEcs.LGstat.MLarXiv:2106.00170v32021AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
Kaizhi Qian, Yang Zhang, Shiyu Chang +2
eess.AScs.AIcs.LGarXiv:1905.05879v22019Multimodal Injury Risk Prediction in Tennis
Francisco Erramuspe Alvarez, Shobharani Polasa, Weihao Qu +2
cs.LGarXiv:2608.25126v12026Forecasting Weather-Driven Price Dynamics Across Sri Lankan Tea Market Catalogues
Hesandi Mallawarachchi, Senilka Madurapperumage, Nadil Kulathunge +6
econ.GNcs.LGarXiv:2608.24894v12026Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
Zhuwen Li, Qifeng Chen, Vladlen Koltun
cs.LGcs.AIstat.MLarXiv:1810.10659v12018Evidence-Grounded Mapping of Multimodal Human Sensing Psychological Transdiagnostic Dimensions
Xiyun Hu, Xiangyuan Xue, Yuting Lyu +2
cs.HCcs.LGarXiv:2608.24903v12026CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
Akshay Smit, Saahil Jain, Pranav Rajpurkar +3
cs.CLcs.IRcs.LGarXiv:2004.09167v32020Dynamic Influence-Weighted Distillation for Single-IMU Activity Recognition
Bingxuan Xie
cs.LGcs.HCarXiv:2608.24904v12026Energy Yield and Lifetime Climate Classification via Machine Learning for Optimizing Photovoltaic Module Design and Materials
Youri Blom, Sofia Dutto, Alexandru Costache +7
physics.comp-phcs.LGarXiv:2608.25448v12026Local Relation Networks for Image Recognition
Han Hu, Zheng Zhang, Zhenda Xie +1
cs.CVcs.AIcs.LGarXiv:1904.11491v12019SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
Tiago Cortinhal, George Tzelepis, Eren Erdal Aksoy
cs.CVcs.LGarXiv:2003.03653v42020TD-MPC2: Scalable, Robust World Models for Continuous Control
Nicklas Hansen, Hao Su, Xiaolong Wang
cs.LGcs.AIcs.CVarXiv:2310.16828v22023Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits
Alekh Agarwal, Daniel Hsu, Satyen Kale +3
cs.LGstat.MLarXiv:1402.0555v22014Behind the [MASK]: Disentangling Representation and Faithfulness in DAPF-Based Dementia Detection
Pardis Ranjbar-Noiey, Natalie Parde
cs.CLcs.LGarXiv:2608.25028v12026Convolutional Neural Networks Applied to House Numbers Digit Classification
Pierre Sermanet, Soumith Chintala, Yann LeCun
cs.CVcs.LGcs.NEarXiv:1204.3968v12012AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts
Taylor Shin, Yasaman Razeghi, Robert L. Logan +2
cs.CLcs.LGarXiv:2010.15980v22020Normalized Loss Functions for Deep Learning with Noisy Labels
Xingjun Ma, Hanxun Huang, Yisen Wang +3
cs.LGcs.CVstat.MLarXiv:2006.13554v12020Digital Twins: State of the Art Theory and Practice, Challenges, and Open Research Questions
Angira Sharma, Edward Kosasih, Jie Zhang +2
cs.LGcs.SEarXiv:2011.02833v32020Measurement and Fairness
Abigail Z. Jacobs, Hanna Wallach
cs.CYcs.LGarXiv:1912.05511v32019Training Deep Neural Networks with 8-bit Floating Point Numbers
Naigang Wang, Jungwook Choi, Daniel Brand +2
cs.LGstat.MLarXiv:1812.08011v12018DataKernelBench: Can LLMs Optimize Database Queries on GPUs?
Gokul Karthik Kumar, Yotam Perlitz, Corey Lammie +2
cs.CLcs.AIcs.DBarXiv:2608.25061v12026A Self-Attentive model for Knowledge Tracing
Shalini Pandey, George Karypis
cs.LGcs.CYstat.MLarXiv:1907.06837v12019Few-Shot Class-Incremental Learning
Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang +3
cs.CVcs.LGstat.MLarXiv:2004.10956v22020OCR-free Document Understanding Transformer
Geewook Kim, Teakgyu Hong, Moonbin Yim +7
cs.LGcs.AIarXiv:2111.15664v52021HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training
Linjie Li, Yen-Chun Chen, Yu Cheng +3
cs.CVcs.CLcs.LGarXiv:2005.00200v22020The Imperfective Paradox Is Not Necessarily in Large Language Models: A Benchmark Failure Before a Model Failure
Kaiqiao Han, Yizhou Sun
cs.CLcs.LGarXiv:2608.25005v12026Does Fine-Tuning Undo Activation Steering? Behavioural Recovery Without Weight-Edit Reversal
Philipp E. Glass, Allan Tucker, Yongmin Li +1
cs.CLcs.AIcs.LGarXiv:2608.24988v12026Unsupervised Post-Training of Foundation Models: A Survey
Yijie Xu, Qianyi Cai, Huizai Yao +9
cs.CLcs.AIcs.CVarXiv:2608.24982v12026Hierarchical Multiscale Recurrent Neural Networks
Junyoung Chung, Sungjin Ahn, Yoshua Bengio
cs.LGarXiv:1609.01704v72016MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb
cs.LGstat.MLarXiv:2012.08791v22020Information-theoretic analysis of generalization capability of learning algorithms
Aolin Xu, Maxim Raginsky
cs.LGcs.ITstat.MLarXiv:1705.07809v22017Triangular Fuzzy Rescaling Distance
Eddy Soria, Aida Valls, Ana Beatriz Hernández-Lara
cs.LGcs.AImath.GMarXiv:2608.19234v12026Causality for Machine Learning
Bernhard Schölkopf
cs.LGcs.AIstat.MLarXiv:1911.10500v22019Runtime Action Interference for AI Control of AlphaStar in StarCraft II
Jaymari Chua, Chen Wang, Liming Zhu +1
cs.LGcs.AIcs.CYarXiv:2608.21398v12026Online Learning: A Modern Introduction Using Convex Optimization
Francesco Orabona
cs.LGmath.OCstat.MLarXiv:1912.13213v102019Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution
Chrisantha Fernando, Dylan Banarse, Henryk Michalewski +2
cs.CLcs.AIcs.LGarXiv:2309.16797v12023Demystifying Neural Style Transfer
Yanghao Li, Naiyan Wang, Jiaying Liu +1
cs.CVcs.LGcs.NEarXiv:1701.01036v22017Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations
Yiping Lu, Aoxiao Zhong, Quanzheng Li +1
cs.CVcs.LGstat.MLarXiv:1710.10121v32017Eliciting Latent Predictions from Transformers with the Tuned Lens
Nora Belrose, Igor Ostrovsky, Lev McKinney +5
cs.LGarXiv:2303.08112v62023Fake News Detection on Social Media using Geometric Deep Learning
Federico Monti, Fabrizio Frasca, Davide Eynard +2
cs.SIcs.LGstat.MLarXiv:1902.06673v12019LESS: Selecting Influential Data for Targeted Instruction Tuning
Mengzhou Xia, Sadhika Malladi, Suchin Gururangan +2
cs.CLcs.AIcs.LGarXiv:2402.04333v32024FlowNet3D: Learning Scene Flow in 3D Point Clouds
Xingyu Liu, Charles R. Qi, Leonidas J. Guibas
cs.CVcs.LGarXiv:1806.01411v32018Top-K Off-Policy Correction for a REINFORCE Recommender System
Minmin Chen, Alex Beutel, Paul Covington +3
cs.LGcs.IRstat.MLarXiv:1812.02353v32018Tell Me Where to Look: Guided Attention Inference Network
Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng +2
cs.CVcs.LGarXiv:1802.10171v12018Sim-to-Real Robot Learning from Pixels with Progressive Nets
Andrei A. Rusu, Mel Vecerik, Thomas Rothörl +3
cs.ROcs.LGarXiv:1610.04286v22016